Evidence map›Paper›PMID 24191304›Full record

ArticleInternational journal of epidemiology2013

Sociodemographic distribution of non-communicable disease risk factors in rural Uganda: a cross-sectional study.

Georgina Av Murphy, Gershim Asiki, Kenneth Ekoru, Rebecca N Nsubuga, Jessica Nakiyingi-Miiro, Elizabeth H Young, Janet Seeley, Manjinder S Sandhu, Anatoli Kamali

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 pooled it
9.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 3 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. The Magnitude of NCD Risk Factors in Ethiopia: Meta-Analysis and Systematic Review of Evidence.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Georgina Av MurphyDepartment of Public Health & Primary Care, University of Cambridge, Cambridge, UK, Wellcome Trust Sanger Institute, Hinxton, UK, Medical Research Council/Uganda Virus Research Institute (MRC/UVRI), Uganda Research Unit on AIDS, Entebbe, Uganda, London School of Hygiene and Tropical Medicine, London, UK and School of International Development, University of East Anglia, Norwich, UK.
Gershim Asiki
Kenneth Ekoru
Rebecca N Nsubuga
Jessica Nakiyingi-Miiro
Elizabeth H Young
Janet Seeley
Manjinder S Sandhu
Anatoli Kamali
University of East Anglia · GBMedical Research Council · GBUganda Virus Research Institute · UGWellcome Sanger Institute · GB

Funding

Medical Research Council G0801566Medical Research Council G0901213Medical Research Council G0901213-92157Medical Research Council MC_U950080926Wellcome Trust 079643Wellcome Trust 100891
6 · The paper itself

Abstract

backgroundNon-communicable diseases (NCDs) are rapidly becoming leading causes of morbidity and mortality in low- and middle-income countries, including those in sub-Saharan Africa. In contrast to high-income countries, the sociodemographic distribution, including socioeconomic inequalities, of NCDs and their risk factors is unclear in sub-Saharan Africa, particularly among rural populations.

methodsWe undertook a cross-sectional population-based survey of 7809 residents aged 13 years or older in the General Population Cohort in south-western rural Uganda. Information on behavioural, physiological and biochemical risk factors was obtained using standardized methods as recommended by the WHO STEPwise Approach to Surveillance. Socioeconomic status (SES) was determined by principal component analysis including household features, ownership, and occupation and education of the head of household.

resultsSES was found to be associated with NCD risk factors in this rural population. Smoking, alcohol consumption (men only) and low high-density lipoprotein (HDL) cholesterol were more common among those of lower SES. For example, the prevalence of smoking decreased 4-fold from the lowest to the highest SES groups, from 22.0% to 5.7% for men and 2.2% to 0.4% for women, respectively. In contrast, overweight, raised blood pressure, raised HbA1c (women only) and raised cholesterol were more common among those of higher SES. For example, the prevalence of overweight increased 5-fold from 2.1% to 10.1% for men, and 2-fold from 12.0% to 23.4% for women, from the lowest to highest SES groups respectively. However, neither low physical activity nor fruit, vegetable or staples consumption was associated with SES. Furthermore, associations between NCD risk factors and SES were modified by age and sex.

conclusionsWithin this rural population, NCD risk factors are common and vary both inversely and positively across the SES gradient. A better understanding of the determinants of the sociodemographic distribution of NCDs and their risk factors in rural sub-Saharan African populations will help identify populations at most risk of developing NCDs and help plan interventions to reduce their burden.

Indexed as

Feeding BehaviorMotor ActivitySocial ClassAdolescentAdultAgedAlcohol DrinkingCross-Sectional StudiesDyslipidemiasFemaleHumansHypertensionMaleMiddle AgedOverweightRisk Factorsepidemiological transitionnon-communicable diseasesrisk factorssociodemographicUganda

Identifiers

PMID24191304
PMCPMC4234905
OpenAlexW2153087579

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.